Utilizing Machine Studying

Summary: The Gamer's Personal Network (GPN) is a consumer/server technology created by WTFast for making the network performance of online games sooner and extra reliable. GPN s use middle-mile servers and proprietary algorithms to better connect on-line video-sport players to their sport's servers throughout a wide-area community. On-line games are a large entertainment market and community latency is a key side of a player's aggressive edge. This market means many various approaches to network architecture are implemented by different competing companies and that these architectures are continually evolving. Guaranteeing the optimal connection between a consumer of WTFast and the online sport they want to play is thus an incredibly difficult downside to automate. Utilizing machine learning, we analyzed historical network knowledge from GPN connections to discover the feasibility of community latency prediction which is a key part of optimization. Our next step can be to collect live information (together with consumer/server load, packet and port data and specific game state info) from GPN Minecraft servers and bots. We'll use this info in a Reinforcement Studying model along with predictions about latency to change the clients' and servers' configurations for optimal network efficiency. https://minecraftservers.best/ and experiments will improve the quality of service and reliability of GPN systems.